Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods A Mondal, Y Efendiev, B Mallick, A Datta-Gupta Advances in Water Resources 33 (3), 241-256, 2010 | 73 | 2010 |
SARS-CoV-2 infection in health care workers: A retrospective analysis and model study Y Bai, X Wang, Q Huang, H Wang, D Gurarie, M Ndeffo-Mbah, F Fan, P Fu, ... MedRxiv, 2020 | 38* | 2020 |
Risk factors of SARS-CoV-2 infection in healthcare workers: a retrospective study of a nosocomial outbreak X Wang, X Jiang, Q Huang, H Wang, D Gurarie, M Ndeffo-Mbah, F Fan, ... Sleep medicine: X 2, 100028, 2020 | 27 | 2020 |
Bayesian uncertainty quantification for subsurface inversion using a multiscale hierarchical model A Mondal, B Mallick, Y Efendiev, A Datta-Gupta Technometrics 56 (3), 381-392, 2014 | 23 | 2014 |
Analyzing stochastic computer models: a review with opportunities E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ... Statistical Science 37 (1), 64-89, 2022 | 21* | 2022 |
SARS-CoV-2 transmission and control in a hospital setting: an individual-based modelling study Q Huang, A Mondal, X Jiang, MA Horn, F Fan, P Fu, X Wang, H Zhao, ... Royal Society Open Science 8 (3), 201895, 2021 | 11 | 2021 |
Computer model calibration based on image warping metrics: an application for sea ice deformation Y Guan, C Sampson, JD Tucker, W Chang, A Mondal, M Haran, D Sulsky Journal of Agricultural, Biological and Environmental Statistics 24 (3), 444-463, 2019 | 10 | 2019 |
Stratified random sampling for dependent inputs in Monte Carlo simulations from computer experiments A Mondal, A Mandal Journal of Statistical Planning and Inference 205, 269-282, 2020 | 8 | 2020 |
A new approach for fast evaluations of large portfolios of oil and gas fields D Castiñeira, A Mondal, S Matringe SPE Annual Technical Conference and Exhibition, 2014 | 7 | 2014 |
Computer model emulation with high-dimensional functional output in large-scale observing system uncertainty experiments P Ma, A Mondal, BA Konomi, J Hobbs, JJ Song, EL Kang Technometrics 64 (1), 65-79, 2022 | 6 | 2022 |
History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods J Xie, A Mondal, Y Efendiev, B Mallick, A Datta-Gupta SPE Improved Oil Recovery Symposium, 2010 | 2 | 2010 |
Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique M Vasilyeva, A Tyrylgin, DL Brown, A Mondal Journal of Computational and Applied Mathematics 392, 113420, 2021 | 1 | 2021 |
Bayesian uncertainty quantification for channelized reservoirs via reduced dimensional parameterization A Mondal, J Wei Mathematics 9 (9), 1067, 2021 | 1 | 2021 |
Spatial retrievals of atmospheric carbon dioxide from satellite observations J Hobbs, M Katzfuss, D Zilber, J Brynjarsdóttir, A Mondal, V Berrocal Remote Sensing 13 (4), 571, 2021 | 1 | 2021 |
Individual-based modeling of COVID-19 transmission in college communities Q Huang, M Ndeffo-Mbah, A Mondal, S Lee, D Gurarie medRxiv, 2021 | 1 | 2021 |
A Two Stage Adaptive Metropolis Algorithm A Mondal, K Yin, A Mandal arXiv preprint arXiv:2101.00118, 2021 | 1 | 2021 |
A Parametric Approach to Unmixing Remote Sensing Crop Growth Signatures C Lewis-Beck, A Mondal, Z Zhu, JJ Song, J Hobbs Journal of Agricultural, Biological and Environmental Statistics 24 (3), 502-516, 2019 | 1 | 2019 |
Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems A Mondal Texas A & M University, 2012 | 1 | 2012 |
Bayesian uncertainty quantification of local volatility model K Yin, A Mondal Sankhya B, 1-35, 2022 | | 2022 |
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers...................................................... Xinran Li, Dingdong Yi and Jun S. Liu 1 The … M Oesting, K Strokorb, P Barbillon, A Fadikar, RB Gramacy, R Herbei, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 37 (1), 2022 | | 2022 |